Triple

T16677263
Position Surface form Disambiguated ID Type / Status
Subject Wayne Swinny E405243 entity
Predicate notableWork P4 FINISHED
Object Every Six Seconds E405244 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Every Six Seconds | Statement: [Wayne Swinny, notableWork, Every Six Seconds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Every Six Seconds
Context triple: [Wayne Swinny, notableWork, Every Six Seconds]
  • A. Every Six Seconds chosen
    Every Six Seconds is the major-label debut studio album by American rock band Saliva, known for its nu metal and hard rock sound that gained mainstream attention in the early 2000s.
  • B. After Six
    "After Six" is a song by the British pop band Scritti Politti, known for their sophisticated, hook-driven blend of pop, soul, and electronic influences.
  • C. 8 Seconds
    8 Seconds is a 1994 biographical drama film about champion bull rider Lane Frost and the world of professional rodeo.
  • D. Twelve Minutes
    Twelve Minutes is a top-down, interactive thriller video game centered on a man trapped in a time loop, repeatedly reliving the same 12-minute scenario to uncover a mystery.
  • E. Not One Less
    Not One Less is a 1999 Chinese drama film directed by Zhang Yimou that follows a young substitute teacher’s struggle to keep her impoverished rural students from dropping out of school.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009194ad188190aae3371c97abc045 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.